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How Artificial Intelligence is Changing the Workplace

The dust has still not settled from the paradigm-shifting impact of Big Data on the way we work, largely because technology continues to spiral upward at a staggering pace. With the Internet of Things (IOT) turning everyday devices into a source of raw data for analytics to generate business insight, artificial intelligence is now coming of age to make analytics even more productive and efficient in the workplace. In the next year, organizations expect to have 10 to 1,000 times more data than today. Established industry leaders with decades of industry and domain expertise, such as SAS, are at the forefront of helping businesses capture data, discover meaningful insights and deploy the benefits throughout their organizations.

1 Data
Application

The Culture Shift

These days, AI is changing both the competitive landscape and customer expectations to create a culture shift at top organizations. In the long run, this type of digital transformation improves the way we work. Leading organizations are experiencing a culture shift being championed by executives that realize that the digital transformation ushered in by AI is changing the competitive landscape and shifting expectations with customers that are changing virtually all aspects of how we operate. And the biggest shift is how we view, value and monetize information - made possible through data-driven decision-making.

AI: What it is and Why it Matters >

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Welcoming the Data Influencers

Because data is so complex, data stewards work as dedicated collaborators to make data-driven insights more accessible across the entire organization. These days, decisions are needed faster than ever, resulting in a parallel evolution of broader access to data and wider access to the transformative power of data visualization.

Data Management in Action: Solving Real-World Challenges >

Sharing Beyond the Company Walls

Just as big data and digital transformation are busting internal silos, there's also a similar change in how organizations share data externally with customers, suppliers and regulators. Recent global research by MIT Sloan Management Review has shown that Innovation is more prevalent among organizations that source and share data more openly with external stakeholders, according to 2017 data from the MIT Sloan Management Review.

Analytics as a Source of Business Innovation >

2 Analytics Drive
Innovation

Real-Time Insight

Every minute matters. These days, trends have changed customer expectations that drive the need for data-driven insights - often in real-time. The development of streaming analytics, edge analytics and other innovations have made it possible for organizations to meet those expectations, enabling a responsiveness that ranges from providing optimal customer experiences to life-saving emergency responses.

SAS Analytics for IOT >

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Increasing Predictive Power Through AI

Deployment of AI has added a new dimension to the roles of many employees. That means more jobs are focused on managing and implementing strategic initiatives while analytic tools automate and scale data to facilitate better decision making.

AI for Executives: Integrating AI into your Analytical Strategy >

Working using data looking at shipping containers

The Internet of Things Arrives at the Office

Whether it's tracking movement or understanding work habits, the Internet of Things is transforming many elements of the way we work. With IoT's key role in making big data even bigger, it has an equally important role in realizing the innovations made possible by the data.

Bringing Intelligence to the Internet of Things >

3 Intelligent Machines
and Pattern Recognition

Man's face in streaking lights black background AI

Start Small with Automation

AI capabilities can be anything from implementing image recognition to analyzing consumer spending behavior for fraud. Even the smallest changes to achieve more focused insight into trends and patterns allow powerful AI capabilities to yield big results from complex data sets.

The Next Analytics Age: AI, Insight Center Report >

Doctor looking at brain imaging on a screen

Analytics Fill the Gaps

Predictive diagnostics are changing the way we find answers by allowing increased modeling capabilities to shine. As a result, employees have relevant data at their fingertips and benefit from reduced research time and a lighter workload.

Interactive Data Exploration and Predictive Analytics >

AI is Transforming Healthcare

When it comes to radiology, AI is aiding doctors in making diagnoses by allowing the processing to take place more quickly and without additional resources. Doctors are now able to gain insights from a scan without a radiologist, because the algorithm has quickly scanned billions of rows of data, identifying patterns in the scans that match those in the data set.

Health Care Analytics >

4 Analytics Help
Companies Get Ahead
of the Competition

Male doctor looks at images on interactive screen

Data Democratization

There isn't a one-size-fits-all approach when it comes to analyzing data, but analytics leaders such as SAS are making sure it's part of everything they offer by simplifying access to multiple data sources across departments through an enterprise platform.

Innovative Uses of Analytics are Changing the World >

A glass of milk being poured from an old fashioned bottle

When Tradition Meets Analytics

Forget the milkman. Oberweis Dairy improved its age-old business through analytics and by building an accessible analytics culture, from tracking quality issues to reducing store wait times by customizing menus.

Customer Story >

Improving Communities through Data

In the nonprofit world, Big Data can be life-changing. For HIV nonprofit CrescentCare, that has meant using SAS data visualization to understand its own population and provide care to more than 20,000 patients. The nonprofit also tracks patients who have moved outside of their coverage area in order to work with other organizations to provide ongoing support.